A growing number of evaluations increases the potential for systematic learning on an aggregated level. However, we often lack adequate methods for rigorous evaluation synthesis. Hence, we developed a quantitative evaluation synthesis design that is open for a variety of different evaluations. Our design increases the explanatory power of our synthesis model and accounts for evaluation quality.